Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams.<br/> Our team of high caliber software developers, applied scientists, data engineers, product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches to ensure that we identify & fix the right catalog defect to ensure the good shopping experience for our customers.<br/> We are looking for a customer-obsessed Business Intel Engineer that thrives in a culture of data-driven decision making who will be responsible to help us hold a high bar for RBS Data Engineering Team<br/> This individual will be responsible for driving/creating:<br/>· Experience working with large, multi-dimensional datasets from multiple sources<br/>· Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.<br/> · Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.)<br/>· Experience in deployment of Machine Learning and Statistical models<br/>· Building new Python utilities and maintaining existing ones<br/> · Enabling more efficient adhoc queries & analysis<br/> · Working closely with research scientists, business analysts and product leads to scale data<br/> · Ensuring consistency between various platform, operational, and analytic data sources to enable faster and more efficient detection and resolution of issues<br/> · Exploring and learn the latest AWS technologies to provide new capabilities and increase efficiencies<br/> · Mentoring the team on analytics best practices<br/>